[HTML][HTML] Recent trends in crowd analysis: A review

M Bendali-Braham, J Weber, G Forestier… - Machine Learning with …, 2021‏ - Elsevier
When overpopulated cities face frequent crowded events like strikes, demonstrations,
parades or other sorts of people gatherings, they are confronted to multiple security issues …

Towards the cognitive and psychological perspectives of crowd behaviour: a vision-based analysis

EB Varghese, SM Thampi - Connection Science, 2021‏ - Taylor & Francis
Smart and proactive surveillance of crowds has turned up into greater importance in recent
years due to the increase in urban population and immutable crowd disasters. Although the …

Edge-computing-enabled abnormal activity recognition for visual surveillance

M Ali, L Goyal, CM Sharma, S Kumar - Electronics, 2024‏ - mdpi.com
Due to the ever increasing number of closed circuit television (CCTV) cameras worldwide, it
is the need of the hour to automate the screening of video content. Still, the majority of video …

A comprehensive review of crowd behavior and social group analysis techniques in smart surveillance

EB Varghese, SM Thampi - Intelligent Image and Video Analytics, 2023‏ - taylorfrancis.com
Automated analysis of crowd behavior has emerged as a significant field in smart
surveillance systems due to the importance of effective and efficient crowd management …

[HTML][HTML] Crowd Anomaly Estimation and Detection: A Review

A Hussein, MW Raed, A Al-Shaikhi, M Mohandes, B Liu - Franklin Open, 2024‏ - Elsevier
Abnormal crowd detection and estimation are critical in video surveillance for ensuring
public safety and preventing stampedes. Owing to occlusions and blind spots, traditional …

Smpl-based 3d pedestrian pose prediction

A Kunchala, M Bouroche, L D'Arcy… - 2021 16th IEEE …, 2021‏ - ieeexplore.ieee.org
Modeling human motion is a long-standing problem in computer vision. The rapid
development of deep learning technologies for computer vision problems resulted in …

A crowd density detection algorithm for tourist attractions based on monitoring video dynamic information analysis

L Li - Complexity, 2020‏ - Wiley Online Library
In this paper, we analyze and calculate the crowd density in a tourist area utilizing video
surveillance dynamic information analysis and divide the crowd counting and density …

Ψ-NET: a novel encoder-decoder architecture for animal segmentation

DND Estrada, U Goyal, M Ullah… - … Conference on Image …, 2022‏ - ieeexplore.ieee.org
This paper proposes a novel Ψ-Net architecture that consists of three encoders and a
decoder for animal image segmentation. The main characteristic of our proposed …

[PDF][PDF] A data association model for analysis of crowd structure

MS Zitouni, A Śluzek - International Journal of Applied …, 2022‏ - intapi.sciendo.com
The paper discusses a non-deterministic model for data association tasks in visual
surveillance of crowds. Using detection and tracking of crowd components (ie, individuals …

An impedance transformer for UHF RFID and WiFi cross‐technology communication‐based tourism crowd counting

OT Tai, KW Tam, WS Kuan - Electronics Letters, 2024‏ - Wiley Online Library
This letter proposes a novel cross‐shaped structure‐based parallel coupled line transformer
and its application to tag antenna for 920‐MHz radio frequency identification (RFID) and 5 …